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You will get RAG pipeline in your preferred LLM framework

Kevin R.Status: Offline
Kevin R.
Preview image

Let a pro handle the details

Buy Generative AI services from Kevin, priced and ready to go.
Kevin R.Status: Offline
Kevin R.
Preview image

Let a pro handle the details

Buy Generative AI services from Kevin, priced and ready to go.

Project details

You’ll get a fully working Retrieval-Augmented Generation pipeline on Databricks — built by a Scale Solutions Engineer who works with enterprise AI teams at Databricks daily.

This isn’t a generic LangChain tutorial. The pipeline uses DSPy to treat retrieval and generation as a programmable, optimizable flow — not fragile string concatenation. Your knowledge base lives in Unity Catalog as a governed Delta table. Semantic search runs through a Databricks Vector Search index that stays in sync with your data. DSPy handles the retrieve → compose → answer logic with structured modules you can extend and optimize.

What you get at every tier: working notebooks, a  requirements.txt , Unity Catalog setup, and a tested end-to-end query you can run yourself. The Advanced tier adds DSPy module optimization and MLflow experiment tracking so you can measure and improve answer quality over time.

f you’re not sure which tier fits your use case, message me before ordering — I’ll tell you honestly.
AI Algorithms
Large Language Model, Regression Analysis
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AIOps, Anomaly Detection, Conversational AI, Machine Translation, Sentiment Analysis, Synthetic Data Generation, Text Recognition
AI Development Language
Python
AI Tools
Azure OpenAI, GitHub Copilot, PyTorch, Streamlit, TensorFlow
AI Models
ChatGPT, LLaMA
What's included
Service Tiers Starter
$200
Standard
$600
Advanced
$1,500
Delivery Time 3 days 7 days 13 days
Number of Revisions
123
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
NLP Tokenization
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Pre-Training
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Prompt Engineering
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Setup File
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$75 - $500
Additional Revision
+$100
DSPy optimizer + eval report (+ 3 Days)
+$400
Agent Framework integration  (+ 4 Days)
+$500

Frequently asked questions

Kevin R.Status: Offline

About Kevin

Kevin R.Status: Offline
Databricks Engineer
San Jose Province, Costa Rica - 7:05 pm local time
Scale Solutions Engineer at Databricks — I help enterprise teams ($1M+ spend) build production-ready data platforms on the product I work on daily.

What I bring to your project:
• Data Governance & Unity Catalog: clean, governed data assets at scale
• Data Engineering: Spark pipelines built for reliability and performance
• Cloud Infrastructure: Terraform-managed Databricks environments on Azure & AWS
• ML & GenAI: end-to-end workflows with MLflow tracking and model serving

You won’t find many freelancers who support Databricks customers professionally by day and take on hands-on projects by night. If you want the work done right the first time, send me a message.

Steps for completing your project

After purchasing the project, send requirements so Kevin can start the project.

Delivery time starts when Kevin receives requirements from you.

Kevin works on your project following the steps below.

Revisions may occur after the delivery date.

Data and Schema Review

I confirm your knowledge base structure, UC catalog/schema targets, and embedding model selection before writing any code

Vector Search Provisioning

I create the endpoint and index, run initial sync, and validate retrieval quality against sample queries

Review the work, release payment, and leave feedback to Kevin.